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climate modeling 1computational efficiency 1interdisciplinary methods 1machine learning emulators 1model reliability 1

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most citedEnScale: Temporally-consistent multivariate generative downscaling via proper scoring rules

1 citations · 1 across the 2 of their papers we have counts for

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cs.LG2026

How Can Machine Learning Emulators Best Support Climate Science?

Luca Schmidt, Nina Effenberger, Vitus Benson +5

The paper examines how machine‑learning emulators can be designed and deployed to reduce the computational cost of physics‑based climate models, proposing a framework that emphasiz…